We adopt transparent policies around product specifications to ensure decisions are made based on complete understanding. Such transparency not only benefits your technical selection, but also promotes deeper comprehension within the community for active contributions.

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Project Basics

AttributeDetails
EstablishedMarch 2023
Open Source LicenseApache License 2.0 with commercial licensing
Official R&D TeamOver 15 full-time employees
Community ContributorsOver 290 people (As of Q2 2024)
Backend TechnologyPython/Flask/PostgreSQL
Frontend TechnologyNext.js
Codebase SizeOver 130,000 lines
Release FrequencyAverage once per week

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Technical Features

FeatureDetails
LLM Inference EnginesDify Runtime (LangChain removed since v0.4)
Commercial Models Supported

10+, including OpenAI and Anthropic

Onboard new mainstream models within 48 hours

MaaS Vendor Supported7, Hugging Face, Replicate, AWS Bedrock, NVIDIA, GroqCloud, together.ai, OpenRouter
Local Model Inference Runtimes Supported6, Xoribits (recommended), OpenLLM, LocalAI, ChatGLM, Ollama, NVIDIA TIS
OpenAI Interface Standard Model Integration Supported∞
Multimodal Capabilities

ASR Models

Rich-text models up to GPT-4o specs

Built-in App TypesText generation, Chatbot, Agent, Workflow, Chatflow
Prompt-as-a-Service Orchestration

Visual orchestration interface widely praised, modify Prompts and preview effects in one place.

Orchestration Modes

  • Simple orchestration
  • Assistant orchestration
  • Flow orchestration

Prompt Variable Types

  • String
  • Radio enum
  • External API
  • File (Q3 2024)
Agentic Workflow Features

Industry-leading visual workflow orchestration interface, live-editing node debugging, modular DSL, and native code runtime, designed for building more complex, reliable, and stable LLM applications.

Supported Nodes

  • LLM
  • Knowledge Retrieval
  • Question Classifier
  • IF/ELSE
  • CODE
  • Template
  • HTTP Request
  • Tool
RAG Features

Industry-first visual knowledge base management interface, supporting snippet previews and recall testing.

Indexing Methods

  • Keywords
  • Text vectors
  • LLM-assisted question-snippet model

Retrieval Methods

  • Keywords
  • Text similarity matching
  • Hybrid Search
  • N choose 1 (Legacy)
  • Multi-path retrieval

Recall Optimization

  • Rerank models
ETL Capabilities

Automated cleaning for TXT, Markdown, PDF, HTML, DOC, CSV formats. Unstructured service enables maximum support.

Sync Notion docs as knowledge bases.

Sync Webpages as knowledge bases.

Vector Databases SupportedQdrant (recommended), Weaviate, Zilliz/Milvus, Pgvector, Pgvector-rs, Chroma, OpenSearch, TiDB, Tencent Cloud VectorDB, Oracle, Relyt, Analyticdb, Couchbase, OceanBase, Tablestore, Lindorm, OpenGauss, Matrixone
Agent Technologies

ReAct, Function Call.

Tooling Support

  • Invoke OpenAI Plugin standard tools
  • Directly load OpenAPI Specification APIs as tools

Built-in Tools

  • 40+ tools (As of Q2 2024)
LoggingSupported, annotations based on logs
Annotation ReplyBased on human-annotated Q&As, used for similarity-based replies. Exportable as data format for model fine-tuning.
Content ModerationOpenAI Moderation or external APIs
Team CollaborationWorkspaces, multi-member management
API SpecsRESTful, most features covered
Deployment MethodsDocker, Helm
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